Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.Lære Plot the Results | Stock Prices Prediction Project
Stock Prices Prediction Project
course content

Kursusindhold

Stock Prices Prediction Project

Stock Prices Prediction Project

IntroductionImport Necessary Libraries and DataPreliminary ExplorationLet's Plot the Evolution of a Single StockAdd Multiple Stocks to a Single PlotCheck the Consistency of the DataProphetProphet FitPredictions Using ProphetPlot the Results

book
Plot the Results

Now that we have our DataFrame with our predictions let's plot the results in order to understand the overall trend of our AAPL stock.

Opgave

Swipe to start coding

  1. Call the .plot() method with the DataFrame we created on the previous step.

Løsning

Congratulations on completing your project on predicting stock prices using Python! I'm sure it was a lot of hard work and dedication, but the end result is sure to be worth it. I'm looking forward to hearing about your findings and the insights you were able to gain from your analysis. Keep up the great work!

Mark tasks as Completed
Switch to desktopSkift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder
Var alt klart?

Hvordan kan vi forbedre det?

Tak for dine kommentarer!

Sektion 1. Kapitel 10
AVAILABLE TO ULTIMATE ONLY
Vi beklager, at noget gik galt. Hvad skete der?
some-alt